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检索条件"主题词=Structural Pattern Recognition"
114 条 记 录,以下是71-80 订阅
排序:
Probabilistic hypergraph matching based on affinity tensor updating
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NEUROCOMPUTING 2017年 269卷 142-147页
作者: Yang, Xu Liu, Zhi-Yong Qiao, Hong Su, Jian-Hua Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China Chinese Acad Sci Ctr Excellence Brain Sci & Intelligence Technol Shanghai 200031 Peoples R China Univ Chinese Acad Sci Beijing 100049 Peoples R China
Graph matching is a fundamental problem in artificial intelligence and structural data processing. Hypergraph matching has recently become popular in the graph matching community. Existing hypergraph matching algorith... 详细信息
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MINIMIZATION OF structural INFORMATION - A SET-THEORETICAL APPROACH
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pattern recognition 1983年 第2期16卷 231-242页
作者: COLLARD, RFA BUFFART, HFJM University of Nijmegen Montessorilaan 3 P.O. Box 9104 6500 HE Nijmegen The Netherlands
According to the coding theory of pattern perception, a pattern may be encoded economically in the form of a hierarchy of operations. In essence, the shortest codes reflect the way(s) a pattern is perceived. Theoretic... 详细信息
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ORGANIZATION OF RELATIONAL MODELS FOR SCENE ANALYSIS
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IEEE TRANSACTIONS ON pattern ANALYSIS AND MACHINE INTELLIGENCE 1982年 第6期4卷 595-602页
作者: SHAPIRO, LG HARALICK, RM SENIOR MEMBER IEEE Department of Computer Science Virginia Polytechnic Institute and State University Blacksburg VA 24061
Relational models are commonly used in scene analysis systems. Most such systems are experimental and deal with only a small number of models. Unknown objects to be analyzed are usually sequentially compared to each m... 详细信息
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THE ARTIFICIAL-INTELLIGENCE APPROACH TO pattern-recognition - A PERSPECTIVE AND AN OVERVIEW
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pattern recognition 1985年 第6期18卷 383-389页
作者: NANDHAKUMAR, N AGGARWAL, JK Laboratory for Image and Signal Analysis College of Engineering The University of Texas at Austin Austin Texas 78712 U.S.A
The present paper reviews the techniques for automated extraction of information from signals. The techniques may be classified broadly into two categories—the conventional pattern recognition approach and the artifi... 详细信息
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PROBLEM REDUCTION REPRESENTATION FOR THE LINGUISTIC ANALYSIS OF WAVEFORMS
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IEEE TRANSACTIONS ON pattern ANALYSIS AND MACHINE INTELLIGENCE 1983年 第3期5卷 287-298页
作者: STOCKMAN, GC KANAL, LN UNIV MARYLAND DEPT COMP SCICOLLEGE PKMD 20742
This paper shows how the nondirectional structural analysis of pattern data can be performed by matching a problem reduction representation (PRR) of pattern structure with sample data, using a best-first state space s... 详细信息
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Fuzzy spatial relationships for image processing and interpretation: a review
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IMAGE AND VISION COMPUTING 2005年 第2期23卷 89-110页
作者: Bloch, I LTCI CNRS UMR 5141 Ecole Natl Super TelecommunDept TSI F-75013 Paris France
In spatial reasoning, relationships between spatial entities play a major role. In image interpretation, computer vision and structural recognition, the management of imperfect information and of imprecision constitut... 详细信息
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structural matching of 2D electrophoresis gels using deformed graphs
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pattern recognition LETTERS 2011年 第1期32卷 3-11页
作者: Noma, Alexandre Pardo, Alvaro Cesar, Roberto M., Jr. Univ Sao Paulo Inst Math & Stat BR-05508090 Sao Paulo Brazil Catholic Univ Uruguay Dept Elect Engn Fac Engn & Technol Montevideo 11600 Uruguay
2D electrophoresis is a well-known method for protein separation which is extremely useful in the field of proteomics. Each spot in the image represents a protein accumulation and the goal is to perform a differential... 详细信息
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Graph embedding in vector spaces by node attribute statistics
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pattern recognition 2012年 第9期45卷 3072-3083页
作者: Gibert, Jaume Valveny, Ernest Bunke, Horst Univ Autonoma Barcelona Comp Vis Ctr Bellaterra 08193 Spain Univ Bern Inst Comp Sci & Appl Math CH-3012 Bern Switzerland
Graph-based representations are of broad use and applicability in pattern recognition. They exhibit, however, a major drawback with regards to the processing tools that are available in their domain. Graph embedding i... 详细信息
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Neuronal Groups and Interrelations
Neuronal Groups and Interrelations
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International Multiconference on Computer Science and Information Technology
作者: Pryczek, Michal Tech Univ Lodz Inst Comp Sci PL-90924 Lodz Poland
Recent development of various domains of Artificial Intelligence including Information Retrieval and Text/Image Understanding created demand on new, sophisticated, contextual methods for data analysis. This article fo... 详细信息
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On Information Granulation via Data Filtering for Granular Computing-Based pattern recognition: A Graph Embedding Case Study
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SN Computer Science 2023年 第3期4卷 314页
作者: Martino, Alessio De Santis, Enrico Rizzi, Antonello Department of Business and Management LUISS University Viale Romania 32 Rome 00197 Italy Department of Information Engineering Electronics and Telecommunications University of Rome “La Sapienza” Via Eudossiana 18 Rome 00184 Italy
Granular Computing is a powerful information processing paradigm, particularly useful for the synthesis of pattern recognition systems in structured domains (e.g., graphs or sequences). According to this paradigm, gra... 详细信息
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